Triple
T14344040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Flight Recorder |
E355668
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | HotSpot JVM |
E68047
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HotSpot JVM | Statement: [Java Flight Recorder, partOf, HotSpot JVM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HotSpot JVM Context triple: [Java Flight Recorder, partOf, HotSpot JVM]
-
A.
HotSpot JVM
chosen
HotSpot JVM is a high-performance Java Virtual Machine known for its advanced just-in-time compilation and adaptive optimization techniques, originally developed by Sun Microsystems.
-
B.
Java Virtual Machine
The Java Virtual Machine (JVM) is a platform-independent runtime environment that executes compiled Java bytecode and enables languages like Java, Kotlin, and Groovy to run on diverse hardware and operating systems.
-
C.
OpenJDK
OpenJDK is the official open-source implementation of the Java Platform, Standard Edition, providing the core Java runtime and development tools used across the industry.
-
D.
Nashorn
Nashorn was a German World War II tank destroyer armed with a powerful 88 mm gun and built on a modified Panzer IV chassis.
-
E.
ZGC
ZGC is a low-latency, scalable garbage collector for the HotSpot JVM designed to handle very large heaps with minimal pause times.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.